Neural Processing Letters

ISSN: 1370-4621

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Neural Processing Letters Q2 Unclaimed

Springer Netherlands Netherlands
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Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems. Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems. The Journal publishes articles on methodological innovations for the applications of the aforementioned systems in classification, pattern recognition, signal processing, image and video processing, robotics, control, autonomous vehicles, financial forecasting, big data analytics, and other multidisciplinary applications. Journal highlights: An international journal publishing state-of-the-art research results and innovative ideas on all aspects of artificial neural networks and machine learningCoverage includes theoretical developments, biological models, learning theory, applications, hardware implementation, and morePromotes timely exchange of information in the community of neural network researchers and usersHigh degree of author satisfaction: 91% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again It has an SJR impact factor of 0,692.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Metrics

Neural Processing Letters

0,692

SJR Impact factor

65

H Index

586

Total Docs (Last Year)

778

Total Docs (3 years)

27290

Total Refs

2839

Total Cites (3 years)

773

Citable Docs (3 years)

3.68

Cites/Doc (2 years)

46.57

Ref/Doc

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